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Problem solving with genetic algorithms and SplicerGenetic algorithms are highly parallel, adaptive search procedures (i.e., problem-solving methods) loosely based on the processes of population genetics and Darwinian survival of the fittest. Genetic algorithms have proven useful in domains where other optimization techniques perform poorly. The main purpose of the paper is to discuss a NASA-sponsored software development project to develop a general-purpose tool for using genetic algorithms. The tool, called Splicer, can be used to solve a wide variety of optimization problems and is currently available from NASA and COSMIC. This discussion is preceded by an introduction to basic genetic algorithm concepts and a discussion of genetic algorithm applications.
Document ID
19920034965
Document Type
Conference Paper
Authors
Bayer, Steven E. (Mitre Corp. Houston, TX, United States)
Wang, Lui (NASA Johnson Space Center Houston, TX, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1991
Subject Category
CYBERNETICS
Report/Patent Number
AIAA PAPER 91-3836
Meeting Information
AIAA Computing in Aerospace Conference(Baltimore, MD)
Distribution Limits
Public
Copyright
Other